antsMotionCorr: Motion Correction

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

This program is a user-level registration application meant to utilize ITKv4-only classes. The user can specify any number of stages where a stage consists of – a transform, an image metric, number of iterations, shrink factors, and smoothing sigmas for each level. Specialized for 4D time series data: fixed image is 3D, moving image should be the 4D time series. Fixed image is a reference space or time slice.

Usage

antsMotionCorr(paramList)

Arguments

paramList

antsMotionCorr parameters, as in ANTs. this is a direct call to the low level c++ and as such has non-standard parameters.

Value

0 – Success
1 – Failure

Note

This function may give different results on multiple runs.

Author(s)

Shrinidhi KL

Examples

# boldfn <- getANTsRData( "pcasl" )
# bold <- antsImageRead( boldfn , 4 )
set.seed( 123 )
bold <- makeImage( c(10,10,10,20) , rnorm( 10*10*10*20)+1 )
bold <- iMath( bold, "PadImage", 5 )
aimg <- new("antsImage", "float", 3)
aimg <- new("antsImage", "float", 3)
mocoImg <- new("antsImage", "float", 4)
mocoParams <- new("antsMatrix", "double")
antsMotionCorr( list( d = 3 , a = bold , o = aimg ) )
aimg2 <- new("antsImage", "float", 3)
antsMotionCorr( list( d = 3 , a = bold , o = aimg2 ) )
antsMotionCorr( list( d = 3 ,
  o = list( mocoParams , mocoImg , aimg ) ,
  m = list( name = "MI" , aimg , bold , 1 , 32 , "Regular", 0.1 ) ,
  t = "Rigid[0.01]" , i = 25 ,
  u = 1 , e = 1 , s = 0 , f = 1 , n = 25 ) )
motiondf <- as.data.frame( mocoParams )

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.